![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Biology and Environment (41)
- (-) Clean Energy (33)
- (-) National Security (37)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (5)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (26)
- Materials (27)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (21)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (67)
News Type
News Topics
- (-) Biomedical (21)
- (-) Clean Water (19)
- (-) Cybersecurity (24)
- (-) Isotopes (2)
- (-) Machine Learning (23)
- (-) Security (15)
- (-) Summit (15)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (6)
- Artificial Intelligence (25)
- Big Data (18)
- Bioenergy (66)
- Biology (80)
- Biotechnology (16)
- Buildings (35)
- Chemical Sciences (18)
- Climate Change (60)
- Composites (18)
- Computer Science (56)
- Coronavirus (24)
- Critical Materials (9)
- Decarbonization (47)
- Energy Storage (72)
- Environment (131)
- Exascale Computing (6)
- Fossil Energy (2)
- Frontier (4)
- Fusion (3)
- Grid (44)
- High-Performance Computing (26)
- Hydropower (9)
- Materials (39)
- Materials Science (31)
- Mathematics (5)
- Mercury (10)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- Nanotechnology (12)
- National Security (37)
- Net Zero (5)
- Neutron Science (17)
- Nuclear Energy (10)
- Partnerships (16)
- Physics (3)
- Polymers (12)
- Quantum Science (3)
- Renewable Energy (2)
- Simulation (16)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (91)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
![ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/ZEISS%20signing%20handshake_0.jpg?h=c6980913&itok=4J8nVrPc)
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
![Mike Huettel](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P00819.jpg?h=4a7d1ed4&itok=SHi9F_hH)
Mike Huettel is a cyber technical professional. He also recently completed the 6-month Cyber Warfare Technician course for the United States Army, where he learned technical and tactical proficiency leadership in operations throughout the cyber domain.
![Cody Lloyd stands in front of images of historical nuclear field testing. The green and red dots are the machine learning algorithm recognizing features in the image. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P05797_0.jpg?h=4a7d1ed4&itok=S8h_wvJX)
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
![Mirko Musa was always fascinated by the power of rivers, specifically how these mighty waterways sculpt landscapes. Now, as a water power researcher, he’s finding ways to harness that power and protect rivers at the same time. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/mirkomusa_2023-p05038.jpg?h=c6980913&itok=3Az47BKS)
Mirko Musa spent his childhood zigzagging his bike along the Po River. The Po, Italy’s longest river, cuts through a lush valley of grain and vegetable fields, which look like a green and gold ocean spreading out from the river’s banks.
![Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P06111_0.jpg?h=c6980913&itok=dgI-yVRh)
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
![ORNL’s Fernanda Santos examines a soil sample at an NGEE Arctic field site in the Alaskan tundra in June 2022. Credit: Amy Breen, University of Alaska Fairbanks.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Fernanda_Nome_June2022.jpg?h=06de31ac&itok=VGxKV_uY)
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
![Clouds of gray smoke in the lower left are funneled northward from wildfires in Western Canada, reaching the edge of the sea ice covering the Arctic Ocean. A second path of thick smoke is visible at the top center of the image, emanating from wildfires in the boreal areas of Russia’s Far East, in this image captured on July 13, 2023. Credit: NASA MODIS](/sites/default/files/styles/list_page_thumbnail/public/2023-07/NASA%20Arctic%20Circle%20wildfire%20smoke_image07182023_1km_1.jpg?h=dbdc3f84&itok=oHQVs6Bn)
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
![Two researchers standing back to back in a grassy area](/sites/default/files/styles/list_page_thumbnail/public/2023-07/CSJ_1716_updated.jpg?h=2dfa0735&itok=U-3yNm3M)
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
![Saubhagya Rathore uses his modeling, hydrology and engineering expertise to improve understanding of the nation’s watersheds to better predict the future climate and to guide resilience strategies. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-07/2023-P08731.jpg?h=c6980913&itok=H4Aq_dfv)
Growing up exploring the parklands of India where Rudyard Kipling drew inspiration for The Jungle Book left Saubhagya Rathore with a deep respect and curiosity about the natural world. He later turned that interest into a career in environmental science and engineering, and today he is working at ORNL to improve our understanding of watersheds for better climate prediction and resilience.
![Tristen Mullins. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/mullins_0.jpg?h=dab30fcb&itok=dsFGJyMz)
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.